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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: facebook/opt-1.3b
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: opt-1.3b-finetuned-rte
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # opt-1.3b-finetuned-rte
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+
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+ This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7779
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+ - Accuracy: 0.4477
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 1 | 0.7844 | 0.4765 |
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+ | No log | 2.0 | 2 | 0.7837 | 0.4801 |
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+ | No log | 3.0 | 3 | 0.7822 | 0.4910 |
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+ | No log | 4.0 | 4 | 0.7828 | 0.4838 |
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+ | No log | 5.0 | 5 | 0.7828 | 0.4838 |
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+ | No log | 6.0 | 6 | 0.7822 | 0.4838 |
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+ | No log | 7.0 | 7 | 0.7820 | 0.4801 |
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+ | No log | 8.0 | 8 | 0.7817 | 0.4838 |
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+ | No log | 9.0 | 9 | 0.7814 | 0.4874 |
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+ | No log | 10.0 | 10 | 0.7815 | 0.4874 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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